Details
| Translated title of the contribution | A self-adjusting feeding system - An approach to accelerate solution finding using a genetic algorithm |
|---|---|
| Original language | German |
| Pages (from-to) | 512-515 |
| Number of pages | 4 |
| Journal | ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb |
| Volume | 109 |
| Issue number | 7-8 |
| Publication status | Published - Aug 2014 |
Abstract
Due to disturbances in feeding systems, a significant need to increase the productivity of high-speed assembly systems arises. This paper describes an approach to increase the convergence speed of a genetic algorithm for an aerodynamic orientation within delivery processes. The genetic algorithm enables automated configuration of crucial parameters with respect to new cargo and external interference.
ASJC Scopus subject areas
- Engineering(all)
- General Engineering
- Business, Management and Accounting(all)
- Strategy and Management
- Decision Sciences(all)
- Management Science and Operations Research
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In: ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb, Vol. 109, No. 7-8, 08.2014, p. 512-515.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Eine selbsteinstellende Zuführeinrichtung
T2 - Beschleunigte Lösungsfindung mit Hilfe eines genetischen Algorithmus
AU - Busch, Jan
AU - Schmidt, Maurice
AU - Richter, Lukas
AU - Nyhuis, Peter
N1 - Funding information: Die Autoren danken der Deutschen Forschungsgemeinschaft (DFG) für die finanzielle Unterstützung zur Durchführung dieses Forschungsvorhabens.
PY - 2014/8
Y1 - 2014/8
N2 - Due to disturbances in feeding systems, a significant need to increase the productivity of high-speed assembly systems arises. This paper describes an approach to increase the convergence speed of a genetic algorithm for an aerodynamic orientation within delivery processes. The genetic algorithm enables automated configuration of crucial parameters with respect to new cargo and external interference.
AB - Due to disturbances in feeding systems, a significant need to increase the productivity of high-speed assembly systems arises. This paper describes an approach to increase the convergence speed of a genetic algorithm for an aerodynamic orientation within delivery processes. The genetic algorithm enables automated configuration of crucial parameters with respect to new cargo and external interference.
UR - http://www.scopus.com/inward/record.url?scp=85019172849&partnerID=8YFLogxK
U2 - 10.3139/104.111171
DO - 10.3139/104.111171
M3 - Artikel
AN - SCOPUS:85019172849
VL - 109
SP - 512
EP - 515
JO - ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb
JF - ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb
SN - 0947-0085
IS - 7-8
ER -